Fenqiang Zhao

According to our database, Fenqiang Zhao authored at least 38 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.

Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li

IEEE Trans. Medical Imaging, March, 2024

A joint brain extraction and image quality assessment framework for fetal brain MRI slices.

Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li

NeuroImage, 2024

Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li

Medical Image Anal., 2024

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation.

Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks.

Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer.

Thibaud Brochet, Kangfu Han, Jiale Cheng, Fenqiang Zhao, Jérôme Lapuyade-Lahorgue, Su Ruan, Yi-Fang Tu, Sheng-Che Hung, Gang Li

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

An attention-based context-informed deep framework for infant brain subcortical segmentation.

Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li

NeuroImage, April, 2023

Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data.

Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization.

Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.

Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.

Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.

Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images.

Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deformable Spherical Transformer for Cerebellar Surface Parcellation.

Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.

Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu

NeuroImage, 2022

A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.

Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li

NeuroImage, 2022

Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Spherical Transformer on Cortical Surfaces.

Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces.

Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.

Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li

IEEE Trans. Medical Imaging, 2021

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li

IEEE Trans. Medical Imaging, 2021

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.

Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li

NeuroImage, 2021

Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Deep Network for Joint Registration and Parcellation of Cortical Surfaces.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.

Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.

Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.

Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Learning for Spherical Surface Registration.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.

Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.

Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction.

Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.

Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Marsalkaite, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, Manish Sahu, Adrian Galdran, Teresa Araújo, Duc My Vo, Chandan Panda, Navdeep Dahiya, Satoshi Kondo, Zhengbing Bian, Gwenolé Quellec

Medical Image Anal., 2019

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks.

Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold.

Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision.

Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Spherical U-Net For Infant Cortical Surface Parcellation.

Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance.

Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Spherical U-Net on Cortical Surfaces: Methods and Applications.

Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Proceedings of the Information Processing in Medical Imaging, 2019